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Analytics for Smart Grid Cyber security

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Identifying Risks and Assessing Vulnerabilities Analytics for Smart Grid Cybersecurity This work was funded by the Cooperative Agreement between the Masdar Institute of Science and Technology (Masdar Institute), Abu Dhabi, UAE and the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA - 02/MI/MIT/CP/11/07633/GEN/G/00. Nazli Choucri Professor of Political Science Gaurav Agarwal SM - Engineering and Management ’10 Boston Global Citizenship Forum
Page 2 Source: United States Government Accountability Office, “Electricity grid modernization, GAO-11-117, January 2011. Analytics for Smart Grid Cybersecurity: Identifying Risks and Assessing Vulnerabilities N Choucri and G Agarwal, September 22 Smart Grid of Power Systems
Highlights of Smart Grid Cybersecurity Risk Management Practice Enterprise Risk Management Practice Cybersecurity Risk Management Practice Other Risk Management Practice NIST Supply Chain RMP DoE RMP Compliance to Technical Standards Compliance to Federal Regulations Implementation of Capability Maturity Models DoE C2M2 Guide DoE C2M2 NIST Cybersecurity Framework White House Executive Order: 13636 NIST 7628 Guidelines NIST 800:53 NIST 1108R3 CIM/61850 for DGM SGIP Framework mapping to Guidelines US CERT Cyber Resilience Review ICS CERT Cyber Security Evaluation Tool Primary Documents Supporting Documents Other Documents Focus on Smart Grid ① ② ③ ④ ⑤ ⑥ Advancing Cybersecurity and Sustainability for Critical Infrastructure: Ecosystem of Cybersecurity Risk Management Practices – Situating NIST Initiatives and Expanding Capabilities. • April 17, 2016 Page 3 Smart Grid Cyber Security Focus RMP stands for Risk Management Practice
Page 4 Smart Grid Elements – in numbers Domains : 7 Actors (Nodes) : 47 Logical Interfaces (Edges) : 130 Security Requirements Types: 180 Vulnerabilities Classes: 53 Spatial distance between nodes is importance and distance to other nodes. Node represents an actor. Node color based on domain. Node size based on eigenvector centrality of node in the network. Edge represents a logical interface (or connection) between two actors. Interface strength – illustrated by thickness of connection Impact scale and scope, defined in system-wide terms – represented by edge color. • Network View of NIST Guidelines from Design Structure Matrix (DSM) Analytics for Smart Grid Cybersecurity: Identifying Risks and Assessing Vulnerabilities N Choucri and G Agarwal September 22, 2016
Page 5 HIGHMODERATELOW ConfidentialityIntegrityAvailability SecurityObjectives Impact Levels Analytics for Smart Grid Cybersecurity: Identifying Risks and Assessing Vulnerabilities • N Choucri and G Agarwal, September 22,, 2016 These images: (1) provide greater transparency, (2) identify high threat areas, (3) support selection of priority actions, and (4) help align resources to goals Risk Identification and Assessment based on NIST Guidelines 7628 R1

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Analytics for Smart Grid Cyber security

  • 1. Identifying Risks and Assessing Vulnerabilities Analytics for Smart Grid Cybersecurity This work was funded by the Cooperative Agreement between the Masdar Institute of Science and Technology (Masdar Institute), Abu Dhabi, UAE and the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA - 02/MI/MIT/CP/11/07633/GEN/G/00. Nazli Choucri Professor of Political Science Gaurav Agarwal SM - Engineering and Management ’10 Boston Global Citizenship Forum
  • 2. Page 2 Source: United States Government Accountability Office, “Electricity grid modernization, GAO-11-117, January 2011. Analytics for Smart Grid Cybersecurity: Identifying Risks and Assessing Vulnerabilities N Choucri and G Agarwal, September 22 Smart Grid of Power Systems
  • 3. Highlights of Smart Grid Cybersecurity Risk Management Practice Enterprise Risk Management Practice Cybersecurity Risk Management Practice Other Risk Management Practice NIST Supply Chain RMP DoE RMP Compliance to Technical Standards Compliance to Federal Regulations Implementation of Capability Maturity Models DoE C2M2 Guide DoE C2M2 NIST Cybersecurity Framework White House Executive Order: 13636 NIST 7628 Guidelines NIST 800:53 NIST 1108R3 CIM/61850 for DGM SGIP Framework mapping to Guidelines US CERT Cyber Resilience Review ICS CERT Cyber Security Evaluation Tool Primary Documents Supporting Documents Other Documents Focus on Smart Grid ① ② ③ ④ ⑤ ⑥ Advancing Cybersecurity and Sustainability for Critical Infrastructure: Ecosystem of Cybersecurity Risk Management Practices – Situating NIST Initiatives and Expanding Capabilities. • April 17, 2016 Page 3 Smart Grid Cyber Security Focus RMP stands for Risk Management Practice
  • 4. Page 4 Smart Grid Elements – in numbers Domains : 7 Actors (Nodes) : 47 Logical Interfaces (Edges) : 130 Security Requirements Types: 180 Vulnerabilities Classes: 53 Spatial distance between nodes is importance and distance to other nodes. Node represents an actor. Node color based on domain. Node size based on eigenvector centrality of node in the network. Edge represents a logical interface (or connection) between two actors. Interface strength – illustrated by thickness of connection Impact scale and scope, defined in system-wide terms – represented by edge color. • Network View of NIST Guidelines from Design Structure Matrix (DSM) Analytics for Smart Grid Cybersecurity: Identifying Risks and Assessing Vulnerabilities N Choucri and G Agarwal September 22, 2016
  • 5. Page 5 HIGHMODERATELOW ConfidentialityIntegrityAvailability SecurityObjectives Impact Levels Analytics for Smart Grid Cybersecurity: Identifying Risks and Assessing Vulnerabilities • N Choucri and G Agarwal, September 22,, 2016 These images: (1) provide greater transparency, (2) identify high threat areas, (3) support selection of priority actions, and (4) help align resources to goals Risk Identification and Assessment based on NIST Guidelines 7628 R1